David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Minds and Machines 23 (1):105-121 (2013)
Language understanding is one of the most important characteristics for human beings. As a pervasive phenomenon in natural language, metaphor is not only an essential thinking approach, but also an ingredient in human conceptual system. Many of our ways of thinking and experiences are virtually represented metaphorically. With the development of the cognitive research on metaphor, it is urgent to formulate a computational model for metaphor understanding based on the cognitive mechanism, especially with the view to promoting natural language understanding. Many works have been done in pragmatics and cognitive linguistics, especially the discussions on metaphor understanding process in pragmatics and metaphor mapping representation in cognitive linguistics. In this paper, a theoretical framework for metaphor understanding based on the embodied mechanism of concept inquiry is proposed. Based on this framework, ontology is introduced as the knowledge representation method in metaphor understanding, and metaphor mapping is formulated as ontology mapping. In line with the conceptual blending theory, a revised conceptual blending framework is presented by adding a lexical ontology and context as the fifth mental space, and a metaphor mapping algorithm is proposed
|Keywords||Metaphor Ontology Conceptual blending Cognitive science Embodied cognition|
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References found in this work BETA
George Lakoff (1980). Metaphors We Live By. University of Chicago Press.
George Lakoff & Mark Johnson (1999). Philosophy in the Flesh the Embodied Mind and its Challenge to Western Thought.
George Lakoff (1987). Women, Fire and Dangerous Thing: What Catergories Reveal About the Mind. University of Chicago Press.
Mark L. Johnson (1987). The Body in the Mind: The Bodily Basis of Meaning, Imagination, and Reason. University of Chicago Press.
Gilles Fauconnier (2002). The Way We Think: Conceptual Blending and the Mind's Hidden Complexities. Basic Books.
Citations of this work BETA
Fenrong Liu & Kaile Su (2013). Logic and AI in China: An Introduction. [REVIEW] Minds and Machines 23 (1):1-4.
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